conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

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Papers (including subtopics)

Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NeurIPS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 2024 Explaining Mixtures of Sources in News Articles EMNLP 2024 Explaining Probabilistic Models with Distributional Values ICML 2024 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning ICLR 2024 Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024 Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals PGM 2024 Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios ACL 2024 Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Interspeech 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 Fast Arc-Reversal PGM 2024 Faster Perfect Sampling of Bayesian Network Structures UAI 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Diffusions COLT 2024 Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024 Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching NeurIPS 2024 Foundation Inference Models for Markov Jump Processes NeurIPS 2024 FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NeurIPS 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ICLR 2024 Functional Directed Acyclic Graphs JMLR 2024 Functional Gradient Flows for Constrained Sampling NeurIPS 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024